Results for "Machine learning"
Efficient, Neuron-Inspired Computing

Efficient, Neuron-Inspired Computing

Jeong et al. argue that a change in paradigm away from the CPU+Memory computing approach and towards a materials approach which mimics biological neurons as synapses is needed.

2013 Thomas Kuhn Paradigm Shift Award

2013 Thomas Kuhn Paradigm Shift Award

Dr. O. Anatole von Lilienfeld of Argonne has been awarded the 2013 Thomas Kuhn Paradigm Shift prize of the “Computers in Chemistry” division of the ACS.